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Key lookup using different methods.
(version: 0)
Comparing performance of:
Without conversion vs Pre-converted Array vs Pre-converted Map vs Live conversion to Array vs Live convesion to Map
Created:
4 years ago
by:
Guest
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Script Preparation code:
var myObj = { one: 1, two: 2, three: 3 } var keys = Object.keys(myObj) var myMap = new Map(Object.entries(myObj))
Tests:
Without conversion
Object.hasOwnProperty(myObj, "two")
Pre-converted Array
keys.includes("two")
Pre-converted Map
myMap.has("two")
Live conversion to Array
Object.keys(myObj).includes("two")
Live convesion to Map
new Map(Object.entries(myObj)).has("two")
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
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Test case name
Result
Without conversion
Pre-converted Array
Pre-converted Map
Live conversion to Array
Live convesion to Map
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. **Benchmark Overview** The provided JSON represents a benchmark that tests different methods for performing key lookups in an object. The test cases are designed to compare the performance of various approaches, including: 1. Direct object lookup (without conversion) 2. Array-based lookup using `includes()` 3. Pre-converted array lookup 4. Map-based lookup using `has()` 5. Live conversion to an array-based lookup 6. Live conversion to a map-based lookup **Test Case Analysis** Let's analyze each test case: 1. **Without conversion**: This test case measures the performance of direct object lookup, without converting the keys to an array or map. * Pros: Simple and straightforward approach. * Cons: May not be optimized for performance in modern browsers. 2. **Pre-converted Array**: This test case uses `Object.keys()` to convert the object's keys to an array and then uses the `includes()` method to perform the lookup. * Pros: Can be faster than direct object lookup, as it leverages the optimized implementation of `includes()`. * Cons: Requires additional memory allocation for the temporary array. 3. **Pre-converted Map**: This test case converts the object's keys to a map using `Object.entries()` and then uses the `has()` method to perform the lookup. * Pros: Can be faster than direct object lookup, as it leverages the optimized implementation of `has()`. * Cons: Requires additional memory allocation for the temporary map. 4. **Live conversion to Array**: This test case creates a new array from the object's keys and then uses the `includes()` method to perform the lookup. * Pros: Can be faster than pre-converting the entire object, as it only creates a small temporary array. * Cons: Requires additional memory allocation for the temporary array. 5. **Live conversion to Map**: This test case creates a new map from the object's keys and then uses the `has()` method to perform the lookup. * Pros: Can be faster than pre-converting the entire object, as it only creates a small temporary map. * Cons: Requires additional memory allocation for the temporary map. **Library Usage** The benchmark makes use of two libraries: 1. **`Object.keys()`**: This is a built-in JavaScript method that returns an array-like object containing the keys of an object. 2. `Map`: This is a built-in JavaScript class that represents a collection of key-value pairs, with fast lookups using the `has()` method. **Special JS Features** None of the test cases utilize any special JavaScript features or syntax beyond what's considered standard for modern browsers. **Benchmark Results** The benchmark results show the execution per second for each test case, indicating which approach performs best in terms of speed. The top-performing test case is **Pre-converted Map**, followed closely by **Live conversion to Map** and **Pre-converted Array**. **Alternatives** Other alternatives for performing key lookups in JavaScript include: 1. Using a library like Lodash's `_.has()` or underscore's `_.includes()` 2. Implementing a custom lookup function using bitwise operations 3. Utilizing a more advanced data structure, such as a trie or suffix tree
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